MiniMax H3 Max Text to Video API API: KI-Videogenerierung

Verwenden Sie MiniMax H3 Max Text to Video API, um Videos generieren über die REST-API von Muapi. Pay-per-Use — kein Abonnement erforderlich.

Interactive model controls

MiniMax H3 Max Text to Video creates high-fidelity video up to 1080p from a written prompt through the Muapi API.

MiniMax H3 Max Text to Video API API-Referenz

Endpunkt

POST https://api.muapi.ai/api/v1/minimax-h3-max-text-to-video

Submit a job with your Muapi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameter

Name	Typ	Erforderlich	Beschreibung
prompt	string	Ja	Video, , .
aspect_ratio	string	Nein	Optionen: 21:9, 16:9, 4:3, 1:1, 3:4, 9:16Standard: "16:9"
resolution	string	Nein	Output resolution. 1080p applies latent refinement from a 768p source.Optionen: 480p, 768p, 1080pStandard: "768p"
duration	integer	Nein	Ausgabedauer () .Optionen: 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15Standard: 5
prompt_expansion_mode	string	Nein	Prompt rewriting effort. 'quality' can add up to ~30s of processing.Optionen: disabled, balanced, qualityStandard: "balanced"

cURL-Beispiel

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/minimax-h3-max-text-to-video \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>"}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python-Beispiel

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/minimax-h3-max-text-to-video", headers=headers, json={"prompt":"<prompt>"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Vollständige Dokumentation und Agent/MCP-Integration: llms.txt. API-Schlüssel erhalten unter muapi.ai/access-keys.